Release v2.3.71

docker/Dockerfile.chat

@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.3.69" \
+    "praisonai>=2.3.71" \
     "praisonai[chat]" \
     "embedchain[github,youtube]"
 

docker/Dockerfile.dev

@@ -20,7 +20,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.3.69" \
+    "praisonai>=2.3.71" \
     "praisonai[ui]" \
     "praisonai[chat]" \
     "praisonai[realtime]" \

docker/Dockerfile.ui

@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.3.69" \
+    "praisonai>=2.3.71" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

src/praisonai/praisonai.rb

@@ -3,8 +3,8 @@ class Praisonai < Formula
   
     desc "AI tools for various AI applications"
     homepage "https://github.com/MervinPraison/PraisonAI"
-    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.3.69.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.3.69.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.3.71.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.3.71.tar.gz | shasum -a 256`.split.first
     license "MIT"
   
     depends_on "[email protected]"

src/praisonai/praisonai/cli/features/agent_scheduler.py

@@ -47,10 +47,14 @@ class AgentSchedulerHandler:
             return AgentSchedulerHandler._handle_describe(unknown_args, state_manager, daemon_manager)
         elif subcommand == "save":
             return AgentSchedulerHandler._handle_save(unknown_args, state_manager)
+        elif subcommand == "stop-all":
+            return AgentSchedulerHandler._handle_stop_all(state_manager, daemon_manager)
+        elif subcommand == "stats":
+            return AgentSchedulerHandler._handle_stats(state_manager, unknown_args, daemon_manager)
         else:
             print(f"❌ Unknown subcommand: {subcommand}")
             print("\nAvailable commands:")
-            print("  start, list, stop, logs, restart, delete, describe, save")
+            print("  start, list, stop, logs, restart, delete, describe, save, stop-all, stats")
             return 1
     
     @staticmethod
@@ -126,7 +130,8 @@ class AgentSchedulerHandler:
         print(f"   Logs: ~/.praisonai/logs/{name}.log")
         print(f"\nManage:")
         print(f"   praisonai schedule list")
-        print(f"   praisonai schedule logs {name} -f")
+        print(f"   praisonai schedule describe {name}")
+        print(f"   praisonai schedule logs {name} --follow")
         print(f"   praisonai schedule stop {name}")
         
         return 0
@@ -163,6 +168,94 @@ class AgentSchedulerHandler:
         print(f"\nTotal: {len(states)} scheduler(s)")
         return 0
     
+    @staticmethod
+    def _handle_stats(state_manager, unknown_args=None, daemon_manager=None) -> int:
+        """Handle 'schedule stats' command - show aggregate or individual statistics."""
+        # If a name is provided, show individual stats (alias for describe)
+        if unknown_args and len(unknown_args) > 0:
+            name = unknown_args[0]
+            return AgentSchedulerHandler._handle_describe([name], state_manager, daemon_manager)
+        
+        # Otherwise show aggregate stats
+        states = state_manager.list_all()
+        
+        if not states:
+            print("No schedulers found.")
+            print("\nStart one with:")
+            print('  praisonai schedule start <name> "Your task" --interval hourly')
+            return 0
+        
+        # Calculate aggregate stats
+        total_schedulers = len(states)
+        running = sum(1 for s in states if s.get('status') == 'running')
+        stopped = total_schedulers - running
+        total_executions = sum(s.get('executions', 0) for s in states)
+        total_cost = sum(s.get('cost', 0.0) for s in states)
+        
+        print(f"\n{'='*60}")
+        print(f"📊 Aggregate Scheduler Statistics")
+        print(f"{'='*60}")
+        print(f"Total Schedulers:     {total_schedulers}")
+        print(f"  🟢 Running:         {running}")
+        print(f"  🔴 Stopped:         {stopped}")
+        print(f"\nTotal Executions:     {total_executions}")
+        print(f"Total Cost:           ${total_cost:.4f}")
+        
+        if total_executions > 0:
+            avg_cost = total_cost / total_executions
+            print(f"Avg Cost/Execution:   ${avg_cost:.4f}")
+        
+        print(f"{'='*60}\n")
+        
+        # Show per-scheduler breakdown
+        print("Per-Scheduler Breakdown:")
+        print(f"{'Name':<20} {'Status':<10} {'Executions':<12} {'Cost':<12}")
+        print("="*60)
+        
+        for state in sorted(states, key=lambda x: x.get('executions', 0), reverse=True):
+            name = state['name'][:20]
+            status = state.get('status', 'unknown')
+            executions = state.get('executions', 0)
+            cost = state.get('cost', 0.0)
+            
+            status_icon = "🟢" if status == "running" else "🔴"
+            print(f"{name:<20} {status_icon} {status:<8} {executions:<12} ${cost:<11.4f}")
+        
+        return 0
+    
+    @staticmethod
+    def _handle_stop_all(state_manager, daemon_manager) -> int:
+        """Handle 'schedule stop-all' command."""
+        states = state_manager.list_all()
+        
+        if not states:
+            print("No schedulers running.")
+            return 0
+        
+        print(f"\n🛑 Stopping all schedulers ({len(states)} total)...\n")
+        
+        stopped = 0
+        failed = 0
+        
+        for state in states:
+            name = state['name']
+            pid = state['pid']
+            
+            try:
+                if daemon_manager.stop_daemon(pid):
+                    state_manager.delete_state(name)
+                    print(f"✅ Stopped '{name}' (PID: {pid})")
+                    stopped += 1
+                else:
+                    print(f"❌ Failed to stop '{name}' (PID: {pid})")
+                    failed += 1
+            except Exception as e:
+                print(f"❌ Error stopping '{name}': {e}")
+                failed += 1
+        
+        print(f"\n📊 Summary: {stopped} stopped, {failed} failed")
+        return 0 if failed == 0 else 1
+    
     @staticmethod
     def _handle_stop(unknown_args, state_manager, daemon_manager) -> int:
         """Handle 'schedule stop' command."""
@@ -482,41 +575,33 @@ class AgentSchedulerHandler:
                     print('  praisonai schedule "Check news every hour" --interval hourly')
                     return 1
                 
-                task_prompt = first_arg
-                print(f"🤖 Creating scheduler for task: {task_prompt[:60]}...")
+                task = first_arg
                 
-                # Create a simple agent with the prompt
+                # Create agent
                 agent = Agent(
                     name="Scheduled Agent",
                     role="Task Executor",
-                    goal=task_prompt,
-                    instructions=f"Execute this task: {task_prompt}",
-                    verbose=verbose
+                    goal=task,
+                    instructions=task,
+                    verbose=False
                 )
                 
                 # Create scheduler
                 scheduler = AgentScheduler(
                     agent=agent,
-                    task=task_prompt,
+                    task=task,
                     timeout=timeout_override,
                     max_cost=max_cost_override
                 )
             
-            # Display configuration
-            agent_name = getattr(scheduler.agent, 'name', 'Agent')
-            print(f"\n{'='*60}")
-            print(f"🤖 Starting 24/7 {agent_name}")
-            print(f"{'='*60}")
-            print(f"Task: {scheduler.task[:80]}{'...' if len(scheduler.task) > 80 else ''}")
+            # Get configuration
+            interval = interval_override
+            max_retries = max_retries_override
             
-            # Get schedule info
             if is_yaml_mode:
                 schedule_config = scheduler._yaml_schedule_config
                 interval = interval_override or schedule_config.get('interval', 'hourly')
                 max_retries = max_retries_override or schedule_config.get('max_retries', 3)
-            else:
-                interval = interval_override
-                max_retries = max_retries_override
             
             print(f"Schedule: {interval}")
             print(f"Max Retries: {max_retries}")

src/praisonai/praisonai/cli/features/agent_scheduler.py.bak

@@ -0,0 +1,729 @@
+"""
+Agent Scheduler CLI Feature.
+
+Provides CLI commands for scheduling agents to run 24/7 at regular intervals.
+"""
+
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+class AgentSchedulerHandler:
+    """Handler for agent scheduler CLI commands."""
+    
+    @staticmethod
+    def handle_daemon_command(subcommand: str, args, unknown_args=None) -> int:
+        """
+        Handle daemon management commands (start, list, stop, logs, restart).
+        
+        Args:
+            subcommand: Command to execute (start, list, stop, logs, restart)
+            args: Parsed command-line arguments
+            unknown_args: Additional arguments
+            
+        Returns:
+            Exit code
+        """
+        from praisonai.scheduler.state_manager import SchedulerStateManager
+        from praisonai.scheduler.daemon_manager import DaemonManager
+        
+        state_manager = SchedulerStateManager()
+        daemon_manager = DaemonManager()
+        
+        if subcommand == "start":
+            return AgentSchedulerHandler._handle_start(args, unknown_args, state_manager, daemon_manager)
+        elif subcommand == "list":
+            return AgentSchedulerHandler._handle_list(state_manager)
+        elif subcommand == "stop":
+            return AgentSchedulerHandler._handle_stop(unknown_args, state_manager, daemon_manager)
+        elif subcommand == "logs":
+            return AgentSchedulerHandler._handle_logs(unknown_args, daemon_manager)
+        elif subcommand == "restart":
+            return AgentSchedulerHandler._handle_restart(unknown_args, state_manager, daemon_manager)
+        elif subcommand == "delete":
+            return AgentSchedulerHandler._handle_delete(unknown_args, state_manager)
+        elif subcommand == "describe":
+            return AgentSchedulerHandler._handle_describe(unknown_args, state_manager, daemon_manager)
+        elif subcommand == "save":
+            return AgentSchedulerHandler._handle_save(unknown_args, state_manager)
+        elif subcommand == "stop-all":
+            return AgentSchedulerHandler._handle_stop_all(state_manager, daemon_manager)
+        elif subcommand == "stats":
+            return AgentSchedulerHandler._handle_stats(state_manager, unknown_args, daemon_manager)
+        else:
+            print(f"❌ Unknown subcommand: {subcommand}")
+            print("\nAvailable commands:")
+            print("  start, list, stop, logs, restart, delete, describe, save, stop-all, stats")
+            return 1
+    
+    @staticmethod
+    def _handle_start(args, unknown_args, state_manager, daemon_manager) -> int:
+        """Handle 'schedule start' command."""
+        from datetime import datetime
+        
+        if not unknown_args:
+            print("❌ Error: Please provide scheduler name and task")
+            print("\nUsage:")
+            print('  praisonai schedule start <name> "Your task" --interval hourly')
+            print("\nExample:")
+            print('  praisonai schedule start news-checker "Check AI news" --interval hourly')
+            return 1
+        
+        # Parse arguments
+        name = unknown_args[0]
+        task = unknown_args[1] if len(unknown_args) > 1 else None
+        
+        if not task:
+            print("❌ Error: Please provide a task")
+            return 1
+        
+        # Get options
+        interval = getattr(args, 'schedule_interval', None) or 'hourly'
+        max_retries = getattr(args, 'schedule_max_retries', None) or 3
+        timeout = getattr(args, 'timeout', None)
+        max_cost = getattr(args, 'max_cost', None)
+        
+        # Check if name already exists
+        existing = state_manager.load_state(name)
+        if existing and daemon_manager.get_status(existing.get('pid', 0))['is_alive']:
+            print(f"❌ Error: Scheduler '{name}' is already running (PID: {existing['pid']})")
+            print(f"   Use 'praisonai schedule stop {name}' to stop it first")
+            return 1
+        
+        # Start daemon
+        print(f"🚀 Starting scheduler '{name}'...")
+        print(f"   Task: {task}")
+        print(f"   Interval: {interval}")
+        if timeout:
+            print(f"   Timeout: {timeout}s")
+        if max_cost:
+            print(f"   Budget: ${max_cost}")
+        
+        pid = daemon_manager.start_scheduler_daemon(
+            name=name,
+            task=task,
+            interval=interval,
+            max_cost=max_cost,
+            timeout=timeout,
+            max_retries=max_retries
+        )
+        
+        # Save state
+        state = {
+            "name": name,
+            "pid": pid,
+            "task": task,
+            "interval": interval,
+            "timeout": timeout,
+            "max_cost": max_cost,
+            "max_retries": max_retries,
+            "status": "running",
+            "started_at": datetime.now().isoformat(),
+            "executions": 0,
+            "cost": 0.0
+        }
+        state_manager.save_state(name, state)
+        
+        print(f"\n✅ Scheduler '{name}' started successfully!")
+        print(f"   PID: {pid}")
+        print(f"   Logs: ~/.praisonai/logs/{name}.log")
+        print(f"\nManage:")
+        print(f"   praisonai schedule list")
+        print(f"   praisonai schedule describe {name}")
+        print(f"   praisonai schedule logs {name} --follow")
+        print(f"   praisonai schedule stop {name}")
+        
+        return 0
+    
+    @staticmethod
+    def _handle_list(state_manager) -> int:
+        """Handle 'schedule list' command."""
+        states = state_manager.list_all()
+        
+        if not states:
+            print("No schedulers running.")
+            print("\nStart one with:")
+            print('  praisonai schedule start <name> "Your task" --interval hourly')
+            return 0
+        
+        # Clean up dead processes
+        state_manager.cleanup_dead_processes()
+        states = state_manager.list_all()
+        
+        # Display table
+        print(f"\n{'Name':<20} {'Status':<10} {'PID':<8} {'Interval':<12} {'Task':<40}")
+        print("=" * 90)
+        
+        for state in states:
+            name = state.get('name', 'unknown')[:20]
+            pid = state.get('pid', 0)
+            status = "running" if state_manager.is_process_alive(pid) else "stopped"
+            interval = state.get('interval', 'unknown')[:12]
+            task = state.get('task', '')[:40]
+            
+            status_icon = "🟢" if status == "running" else "🔴"
+            print(f"{name:<20} {status_icon} {status:<8} {pid:<8} {interval:<12} {task:<40}")
+        
+        print(f"\nTotal: {len(states)} scheduler(s)")
+        return 0
+    
+    @staticmethod
+    def _handle_stats(state_manager, unknown_args=None, daemon_manager=None) -> int:
+        """Handle 'schedule stats' command - show aggregate or individual statistics."""
+        # If a name is provided, show individual stats (alias for describe)
+        if unknown_args and len(unknown_args) > 0:
+            name = unknown_args[0]
+            return AgentSchedulerHandler._handle_describe([name], state_manager, None)
+        
+        # Otherwise show aggregate stats
+        states = state_manager.list_all()
+        
+        if not states:
+            print("No schedulers found.")
+            print("\nStart one with:")
+            print('  praisonai schedule start <name> "Your task" --interval hourly')
+            return 0
+        
+        # Calculate aggregate stats
+        total_schedulers = len(states)
+        running = sum(1 for s in states if s.get('status') == 'running')
+        stopped = total_schedulers - running
+        total_executions = sum(s.get('executions', 0) for s in states)
+        total_cost = sum(s.get('cost', 0.0) for s in states)
+        
+        print(f"\n{'='*60}")
+        print(f"📊 Aggregate Scheduler Statistics")
+        print(f"{'='*60}")
+        print(f"Total Schedulers:     {total_schedulers}")
+        print(f"  🟢 Running:         {running}")
+        print(f"  🔴 Stopped:         {stopped}")
+        print(f"\nTotal Executions:     {total_executions}")
+        print(f"Total Cost:           ${total_cost:.4f}")
+        
+        if total_executions > 0:
+            avg_cost = total_cost / total_executions
+            print(f"Avg Cost/Execution:   ${avg_cost:.4f}")
+        
+        print(f"{'='*60}\n")
+        
+        # Show per-scheduler breakdown
+        print("Per-Scheduler Breakdown:")
+        print(f"{'Name':<20} {'Status':<10} {'Executions':<12} {'Cost':<12}")
+        print("="*60)
+        
+        for state in sorted(states, key=lambda x: x.get('executions', 0), reverse=True):
+            name = state['name'][:20]
+            status = state.get('status', 'unknown')
+            executions = state.get('executions', 0)
+            cost = state.get('cost', 0.0)
+            
+            status_icon = "🟢" if status == "running" else "🔴"
+            print(f"{name:<20} {status_icon} {status:<8} {executions:<12} ${cost:<11.4f}")
+        
+        return 0
+    
+    @staticmethod
+    def _handle_stop_all(state_manager, daemon_manager) -> int:
+        """Handle 'schedule stop-all' command."""
+        states = state_manager.list_all()
+        
+        if not states:
+            print("No schedulers running.")
+            return 0
+        
+        print(f"\n🛑 Stopping all schedulers ({len(states)} total)...\n")
+        
+        stopped = 0
+        failed = 0
+        
+        for state in states:
+            name = state['name']
+            pid = state['pid']
+            
+            try:
+                if daemon_manager.stop_daemon(pid):
+                    state_manager.delete_state(name)
+                    print(f"✅ Stopped '{name}' (PID: {pid})")
+                    stopped += 1
+                else:
+                    print(f"❌ Failed to stop '{name}' (PID: {pid})")
+                    failed += 1
+            except Exception as e:
+                print(f"❌ Error stopping '{name}': {e}")
+                failed += 1
+        
+        print(f"\n📊 Summary: {stopped} stopped, {failed} failed")
+        return 0 if failed == 0 else 1
+    
+    @staticmethod
+    def _handle_stop(unknown_args, state_manager, daemon_manager) -> int:
+        """Handle 'schedule stop' command."""
+        if not unknown_args:
+            print("❌ Error: Please provide scheduler name")
+            print("\nUsage: praisonai schedule stop <name>")
+            return 1
+        
+        name = unknown_args[0]
+        state = state_manager.load_state(name)
+        
+        if not state:
+            print(f"❌ Error: Scheduler '{name}' not found")
+            print("\nList schedulers with: praisonai schedule list")
+            return 1
+        
+        pid = state.get('pid')
+        if not pid:
+            print(f"❌ Error: No PID found for scheduler '{name}'")
+            return 1
+        
+        print(f"🛑 Stopping scheduler '{name}' (PID: {pid})...")
+        
+        success = daemon_manager.stop_daemon(pid)
+        
+        if success:
+            state['status'] = 'stopped'
+            state_manager.save_state(name, state)
+            print(f"✅ Scheduler '{name}' stopped successfully")
+            return 0
+        else:
+            print(f"❌ Failed to stop scheduler '{name}'")
+            return 1
+    
+    @staticmethod
+    def _handle_logs(unknown_args, daemon_manager) -> int:
+        """Handle 'schedule logs' command."""
+        if not unknown_args:
+            print("❌ Error: Please provide scheduler name")
+            print("\nUsage: praisonai schedule logs <name> [-f]")
+            return 1
+        
+        name = unknown_args[0]
+        follow = '-f' in unknown_args or '--follow' in unknown_args
+        
+        if follow:
+            print(f"📋 Following logs for '{name}' (Ctrl+C to stop)...")
+            import subprocess
+            log_file = daemon_manager.log_dir / f"{name}.log"
+            if not log_file.exists():
+                print(f"❌ Error: Log file not found for '{name}'")
+                return 1
+            
+            try:
+                subprocess.run(['tail', '-f', str(log_file)])
+            except KeyboardInterrupt:
+                print("\n✅ Stopped following logs")
+            return 0
+        else:
+            logs = daemon_manager.read_logs(name, lines=50)
+            if logs:
+                print(f"📋 Last 50 lines of logs for '{name}':\n")
+                print(logs)
+                return 0
+            else:
+                print(f"❌ Error: No logs found for '{name}'")
+                return 1
+    
+    @staticmethod
+    def _handle_restart(unknown_args, state_manager, daemon_manager) -> int:
+        """Handle 'schedule restart' command."""
+        from datetime import datetime
+        import time
+        
+        if not unknown_args:
+            print("❌ Error: Please provide scheduler name")
+            print("\nUsage: praisonai schedule restart <name>")
+            return 1
+        
+        name = unknown_args[0]
+        state = state_manager.load_state(name)
+        
+        if not state:
+            print(f"❌ Error: Scheduler '{name}' not found")
+            return 1
+        
+        print(f"🔄 Restarting scheduler '{name}'...")
+        
+        # Stop if running
+        pid = state.get('pid')
+        if pid and state_manager.is_process_alive(pid):
+            daemon_manager.stop_daemon(pid)
+            time.sleep(1)
+        
+        # Start again
+        new_pid = daemon_manager.start_scheduler_daemon(
+            name=name,
+            task=state['task'],
+            interval=state['interval'],
+            max_cost=state.get('max_cost'),
+            timeout=state.get('timeout'),
+            max_retries=state.get('max_retries', 3)
+        )
+        
+        state['pid'] = new_pid
+        state['status'] = 'running'
+        state['started_at'] = datetime.now().isoformat()
+        state_manager.save_state(name, state)
+        
+        print(f"✅ Scheduler '{name}' restarted (PID: {new_pid})")
+        return 0
+    
+    @staticmethod
+    def _handle_delete(unknown_args, state_manager) -> int:
+        """Handle 'schedule delete' command."""
+        if not unknown_args:
+            print("❌ Error: Please provide scheduler name")
+            print("\nUsage: praisonai schedule delete <name>")
+            return 1
+        
+        name = unknown_args[0]
+        
+        if state_manager.delete_state(name):
+            print(f"✅ Scheduler '{name}' deleted from list")
+            return 0
+        else:
+            print(f"❌ Error: Scheduler '{name}' not found")
+            return 1
+    
+    @staticmethod
+    def _handle_describe(unknown_args, state_manager, daemon_manager) -> int:
+        """Handle 'schedule describe' command."""
+        from datetime import datetime
+        
+        if not unknown_args:
+            print("❌ Error: Please provide scheduler name")
+            print("\nUsage: praisonai schedule describe <name>")
+            return 1
+        
+        name = unknown_args[0]
+        state = state_manager.load_state(name)
+        
+        if not state:
+            print(f"❌ Error: Scheduler '{name}' not found")
+            print("\nList schedulers with: praisonai schedule list")
+            return 1
+        
+        # Get process status
+        pid = state.get('pid', 0)
+        is_alive = state_manager.is_process_alive(pid)
+        status = "🟢 running" if is_alive else "🔴 stopped"
+        
+        # Calculate uptime
+        started_at = state.get('started_at')
+        uptime = "N/A"
+        if started_at:
+            try:
+                start_time = datetime.fromisoformat(started_at)
+                uptime_delta = datetime.now() - start_time
+                hours = int(uptime_delta.total_seconds() // 3600)
+                minutes = int((uptime_delta.total_seconds() % 3600) // 60)
+                uptime = f"{hours}h {minutes}m"
+            except:
+                pass
+        
+        # Display detailed info
+        print(f"\n{'='*60}")
+        print(f"📋 Scheduler Details: {name}")
+        print(f"{'='*60}")
+        print(f"Status:       {status}")
+        print(f"PID:          {pid}")
+        print(f"Uptime:       {uptime}")
+        print(f"Task:         {state.get('task', 'N/A')}")
+        print(f"Interval:     {state.get('interval', 'N/A')}")
+        print(f"Max Retries:  {state.get('max_retries', 'N/A')}")
+        
+        if state.get('timeout'):
+            print(f"Timeout:      {state['timeout']}s")
+        
+        if state.get('max_cost'):
+            print(f"Budget:       ${state['max_cost']}")
+        
+        print(f"Executions:   {state.get('executions', 0)}")
+        print(f"Total Cost:   ${state.get('cost', 0.0):.4f}")
+        print(f"Started:      {started_at or 'N/A'}")
+        
+        # Log file location
+        log_file = daemon_manager.log_dir / f"{name}.log"
+        print(f"Logs:         {log_file}")
+        
+        print(f"{'='*60}\n")
+        
+        return 0
+    
+    @staticmethod
+    def _handle_save(unknown_args, state_manager) -> int:
+        """Handle 'schedule save' command."""
+        import yaml
+        
+        if not unknown_args:
+            print("❌ Error: Please provide scheduler name")
+            print("\nUsage: praisonai schedule save <name> [output.yaml]")
+            return 1
+        
+        name = unknown_args[0]
+        output_file = unknown_args[1] if len(unknown_args) > 1 else f"{name}.yaml"
+        
+        state = state_manager.load_state(name)
+        
+        if not state:
+            print(f"❌ Error: Scheduler '{name}' not found")
+            return 1
+        
+        # Create YAML config from state
+        yaml_config = {
+            'framework': 'praisonai',
+            'agents': [{
+                'name': name,
+                'role': 'Task Executor',
+                'goal': state.get('task', ''),
+                'instructions': state.get('task', ''),
+                'verbose': True
+            }],
+            'task': state.get('task', ''),
+            'schedule': {
+                'interval': state.get('interval', 'hourly'),
+                'max_retries': state.get('max_retries', 3),
+                'run_immediately': True
+            }
+        }
+        
+        # Add optional fields
+        if state.get('timeout'):
+            yaml_config['schedule']['timeout'] = state['timeout']
+        
+        if state.get('max_cost'):
+            yaml_config['schedule']['max_cost'] = state['max_cost']
+        
+        # Write to file
+        try:
+            with open(output_file, 'w') as f:
+                yaml.dump(yaml_config, f, default_flow_style=False, sort_keys=False)
+            
+            print(f"✅ Configuration saved to: {output_file}")
+            print(f"\nRun with:")
+            print(f"  praisonai schedule {output_file}")
+            return 0
+        except Exception as e:
+            print(f"❌ Error saving configuration: {e}")
+            return 1
+    
+    @staticmethod
+    def handle_schedule_command(args, unknown_args=None) -> int:
+        """
+        Handle the schedule command for running agents periodically.
+        
+        Supports two modes:
+        1. YAML mode: praisonai schedule agents.yaml
+        2. Prompt mode: praisonai schedule "Your task here" --interval hourly
+        
+        Args:
+            args: Parsed command-line arguments
+            unknown_args: Additional arguments after the command
+            
+        Returns:
+            Exit code (0 for success, 1 for error)
+        """
+        try:
+            from praisonai.scheduler import AgentScheduler
+            from praisonaiagents import Agent
+        except ImportError:
+            print("Error: praisonai.scheduler or praisonaiagents module not found")
+            print("Please ensure PraisonAI is properly installed")
+            print("pip install praisonai praisonaiagents")
+            return 1
+        
+        # Check if first arg is a YAML file or a prompt
+        first_arg = unknown_args[0] if unknown_args else None
+        is_yaml_mode = first_arg and (first_arg.endswith('.yaml') or first_arg.endswith('.yml'))
+        
+        # Get overrides from CLI
+        interval_override = getattr(args, 'schedule_interval', None) or 'hourly'
+        max_retries_override = getattr(args, 'schedule_max_retries', None) or 3
+        timeout_override = getattr(args, 'timeout', None)
+        max_cost_override = getattr(args, 'max_cost', None)
+        verbose = getattr(args, 'verbose', False)
+        
+        # Set up logging - only show logs if verbose
+        if verbose:
+            logging.basicConfig(
+                level=logging.INFO,
+                format='[%(asctime)s] %(levelname)s - %(message)s',
+                datefmt='%Y-%m-%d %H:%M:%S'
+            )
+        else:
+            # Suppress scheduler logs in non-verbose mode
+            logging.getLogger('praisonai.scheduler').setLevel(logging.WARNING)
+        
+        try:
+            if is_yaml_mode:
+                # YAML mode: Load from agents.yaml
+                yaml_path = first_arg
+                print(f"🤖 Loading agent configuration from: {yaml_path}")
+                scheduler = AgentScheduler.from_yaml(
+                    yaml_path=yaml_path,
+                    interval_override=interval_override,
+                    max_retries_override=max_retries_override,
+                    timeout_override=timeout_override,
+                    max_cost_override=max_cost_override
+                )
+            else:
+                # Prompt mode: Create agent from direct prompt
+                if not first_arg:
+                    print("❌ Error: Please provide either a YAML file or a task prompt")
+                    print("\nExamples:")
+                    print("  praisonai schedule agents.yaml")
+                    print('  praisonai schedule "Check news every hour" --interval hourly')
+                    return 1
+                
+                task = first_arg
+                
+                # Create agent
+                agent = Agent(
+                    name="Scheduled Agent",
+                    role="Task Executor",
+                    goal=task,
+                    instructions=task,
+                    verbose=False
+                )
+                
+                # Create scheduler
+                scheduler = AgentScheduler(
+                    agent=agent,
+                    task=task,
+                    timeout=timeout_override,
+                    max_cost=max_cost_override
+                )
+            
+            # Get configuration
+            interval = interval_override
+            max_retries = max_retries_override
+            
+            if is_yaml_mode:
+                schedule_config = scheduler._yaml_schedule_config
+                interval = interval_override or schedule_config.get('interval', 'hourly')
+                max_retries = max_retries_override or schedule_config.get('max_retries', 3)
+            
+            print(f"Schedule: {interval}")
+            print(f"Max Retries: {max_retries}")
+            if scheduler.timeout:
+                print(f"Timeout: {scheduler.timeout}s")
+            if scheduler.max_cost:
+                print(f"Budget: ${scheduler.max_cost}")
+            print(f"{'='*60}\n")
+            
+            # Start scheduler
+            print("⏰ Starting scheduler... (Press Ctrl+C to stop)\n")
+            if is_yaml_mode:
+                scheduler.start_from_yaml_config()
+            else:
+                scheduler.start(
+                    schedule_expr=interval,
+                    max_retries=max_retries,
+                    run_immediately=True
+                )
+            
+            # Keep running until interrupted
+            try:
+                while scheduler.is_running:
+                    import time
+                    time.sleep(1)
+            except KeyboardInterrupt:
+                print("\n\n🛑 Stopping scheduler...")
+                scheduler.stop()
+                
+                # Display final stats
+                stats = scheduler.get_stats()
+                print("\n📊 Final Statistics:")
+                print(f"  Total Executions: {stats['total_executions']}")
+                print(f"  Successful: {stats['successful_executions']}")
+                print(f"  Failed: {stats['failed_executions']}")
+                print(f"  Success Rate: {stats['success_rate']:.1f}%")
+                print("\n✅ Agent stopped successfully\n")
+                
+            return 0
+            
+        except FileNotFoundError as e:
+            print(f"❌ Error: {e}")
+            print(f"\nMake sure {yaml_path} exists in the current directory.")
+            print("\nExample agents.yaml structure:")
+            print("""
+framework: praisonai
+
+agents:
+  - name: "AI News Monitor"
+    role: "News Analyst"
+    instructions: "Search and summarize AI news"
+    tools:
+      - search_tool
+
+task: "Search for latest AI news"
+
+schedule:
+  interval: "hourly"
+  max_retries: 3
+  run_immediately: true
+""")
+            return 1
+            
+        except ValueError as e:
+            print(f"❌ Configuration Error: {e}")
+            return 1
+            
+        except Exception as e:
+            print(f"❌ Error: {e}")
+            if verbose:
+                import traceback
+                traceback.print_exc()
+            return 1
+            
+    @staticmethod
+    def add_schedule_arguments(subparsers):
+        """
+        Add schedule subcommand and arguments to parser.
+        
+        Args:
+            subparsers: Subparsers object from argparse
+        """
+        schedule_parser = subparsers.add_parser(
+            'schedule',
+            help='Schedule an agent to run continuously at regular intervals'
+        )
+        
+        schedule_parser.add_argument(
+            'schedule_yaml',
+            nargs='?',
+            default='agents.yaml',
+            help='Path to agents.yaml file (default: agents.yaml)'
+        )
+        
+        schedule_parser.add_argument(
+            '--interval',
+            dest='schedule_interval',
+            type=str,
+            help='Override schedule interval (e.g., "hourly", "*/30m", "daily")'
+        )
+        
+        schedule_parser.add_argument(
+            '--max-retries',
+            dest='schedule_max_retries',
+            type=int,
+            help='Override maximum retry attempts (default: from YAML or 3)'
+        )
+        
+        schedule_parser.add_argument(
+            '--verbose', '-v',
+            action='store_true',
+            help='Enable verbose logging'
+        )
+        
+        schedule_parser.set_defaults(func=AgentSchedulerHandler.handle_schedule_command)
+
+
+def setup_scheduler_cli(subparsers):
+    """
+    Setup scheduler CLI commands.
+    
+    Args:
+        subparsers: Subparsers object from argparse
+    """
+    AgentSchedulerHandler.add_schedule_arguments(subparsers)

src/praisonai/praisonai/cli/main.py

@@ -236,7 +236,7 @@ class PraisonAI:
                 # Check for subcommands (start, list, stop, logs, restart)
                 subcommand = unknown_args[0] if unknown_args and not unknown_args[0].startswith('-') else None
                 
-                if subcommand in ['start', 'list', 'stop', 'logs', 'restart', 'delete', 'describe', 'save']:
+                if subcommand in ['start', 'list', 'stop', 'logs', 'restart', 'delete', 'describe', 'save', 'stop-all', 'stats']:
                     exit_code = AgentSchedulerHandler.handle_daemon_command(subcommand, args, unknown_args[1:] if len(unknown_args) > 1 else [])
                 else:
                     # Legacy mode: direct scheduling (foreground)

src/praisonai/praisonai/deploy.py

@@ -57,7 +57,7 @@ class CloudDeployer:
             file.write("FROM python:3.11-slim\n")
             file.write("WORKDIR /app\n")
             file.write("COPY . .\n")
-            file.write("RUN pip install flask praisonai==2.3.69 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.3.71 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
             

src/praisonai/praisonai/scheduler/agent_scheduler.py

@@ -100,16 +100,16 @@ class AgentScheduler:
             self.is_running = True
             self._stop_event.clear()
             
-            logger.info(f"Starting agent scheduler: {getattr(self.agent, 'name', 'Agent')}")
-            logger.info(f"Task: {self.task}")
-            logger.info(f"Schedule: {schedule_expr} ({interval}s interval)")
+            logger.debug(f"Starting agent scheduler: {getattr(self.agent, 'name', 'Agent')}")
+            logger.debug(f"Task: {self.task}")
+            logger.debug(f"Schedule: {schedule_expr} ({interval}s interval)")
             self.is_running = True
             self._stop_event.clear()
             self._start_time = datetime.now()
             
             # Run immediately if requested
             if run_immediately:
-                logger.info("Running agent immediately before starting schedule...")
+                logger.debug("Running agent immediately before starting schedule...")
                 self._execute_with_retry(max_retries)
             
             self._thread = threading.Thread(
@@ -119,7 +119,7 @@ class AgentScheduler:
             )
             self._thread.start()
             
-            logger.info("Agent scheduler started successfully")
+            logger.debug("Agent scheduler started successfully")
             if self.timeout:
                 logger.info(f"Timeout per execution: {self.timeout}s")
             if self.max_cost:
@@ -139,18 +139,18 @@ class AgentScheduler:
             True if stopped successfully
         """
         if not self.is_running:
-            logger.info("Scheduler is not running")
+            logger.debug("Scheduler is not running")
             return True
             
-        logger.info("Stopping agent scheduler...")
+        logger.debug("Stopping agent scheduler...")
         self._stop_event.set()
         
         if self._thread and self._thread.is_alive():
             self._thread.join(timeout=10)
             
         self.is_running = False
-        logger.info("Agent scheduler stopped")
-        logger.info(f"Execution stats - Total: {self._execution_count}, Success: {self._success_count}, Failed: {self._failure_count}")
+        logger.debug("Agent scheduler stopped")
+        logger.debug(f"Execution stats - Total: {self._execution_count}, Success: {self._success_count}, Failed: {self._failure_count}")
         return True
     
     def get_stats(self) -> Dict[str, Any]:
@@ -219,15 +219,15 @@ class AgentScheduler:
                 self.stop()
                 break
             
-            logger.info(f"[{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}] Starting scheduled agent execution")
+            logger.debug(f"[{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}] Starting scheduled agent execution")
             
             self._execute_with_retry(max_retries)
             
             # Wait for next scheduled time
-            logger.info(f"Next execution in {interval} seconds ({interval/3600:.1f} hours)")
+            logger.debug(f"Next execution in {interval} seconds ({interval/3600:.1f} hours)")
             if self.max_cost:
                 remaining = self.max_cost - self._total_cost
-                logger.info(f"Budget remaining: ${remaining:.4f}")
+                logger.debug(f"Budget remaining: ${remaining:.4f}")
             self._stop_event.wait(interval)
     
     def _execute_with_retry(self, max_retries: int):
@@ -238,7 +238,7 @@ class AgentScheduler:
         
         for attempt in range(max_retries):
             try:
-                logger.info(f"Attempt {attempt + 1}/{max_retries}")
+                logger.debug(f"Attempt {attempt + 1}/{max_retries}")
                 
                 # Execute with timeout if specified
                 if self.timeout:
@@ -260,8 +260,8 @@ class AgentScheduler:
                 else:
                     result = self._executor.execute(self.task)
                 
-                logger.info(f"Agent execution successful on attempt {attempt + 1}")
-                logger.info(f"Result: {result}")
+                logger.debug(f"Agent execution successful on attempt {attempt + 1}")
+                logger.debug(f"Result: {result}")
                 
                 # Always print result to stdout (even in non-verbose mode)
                 print(f"\n✅ Agent Response:\n{result}\n")
@@ -269,7 +269,7 @@ class AgentScheduler:
                 # Estimate cost (rough: ~$0.0001 per execution for gpt-4o-mini)
                 estimated_cost = 0.0001  # Base cost estimate
                 self._total_cost += estimated_cost
-                logger.info(f"Estimated cost this run: ${estimated_cost:.4f}, Total: ${self._total_cost:.4f}")
+                logger.debug(f"Estimated cost this run: ${estimated_cost:.4f}, Total: ${self._total_cost:.4f}")
                 
                 self._success_count += 1
                 success = True
@@ -290,7 +290,7 @@ class AgentScheduler:
                 
                 if attempt < max_retries - 1:
                     wait_time = 30 * (attempt + 1)  # Exponential backoff
-                    logger.info(f"Waiting {wait_time}s before retry...")
+                    logger.debug(f"Waiting {wait_time}s before retry...")
                     time.sleep(wait_time)
         
         if not success:
@@ -310,10 +310,10 @@ class AgentScheduler:
         Returns:
             Agent execution result
         """
-        logger.info("Executing agent once")
+        logger.debug("Executing agent once")
         try:
             result = self._executor.execute(self.task)
-            logger.info(f"One-time execution successful: {result}")
+            logger.debug(f"One-time execution successful: {result}")
             
             if self.on_success:
                 try:

src/praisonai/praisonai/scheduler/daemon_manager.py

@@ -52,12 +52,6 @@ class DaemonManager:
         
         # Open log file
         with open(log_file, 'a') as log:
-            log.write(f"\n{'='*60}\n")
-            log.write(f"Starting daemon: {name}\n")
-            log.write(f"Task: {task}\n")
-            log.write(f"Interval: {interval}\n")
-            log.write(f"Time: {datetime.now().isoformat()}\n")
-            log.write(f"{'='*60}\n\n")
             log.flush()
             
             # Start process as daemon

src/praisonai/praisonai/version.py

@@ -1 +1 @@
-__version__ = "2.3.69"
+__version__ = "2.3.71"

src/praisonai/tests/unit/test_scheduler_new_features.py

@@ -0,0 +1,288 @@
+"""
+Tests for new scheduler features: stop-all, stats, and clean logs.
+"""
+import pytest
+import tempfile
+from pathlib import Path
+from unittest.mock import Mock, patch, MagicMock
+
+
+class TestStopAllCommand:
+    """Test stop-all command functionality."""
+    
+    def test_stop_all_with_multiple_schedulers(self):
+        """Test stopping all schedulers at once."""
+        from praisonai.cli.features.agent_scheduler import AgentSchedulerHandler
+        from praisonai.scheduler.state_manager import SchedulerStateManager
+        from praisonai.scheduler.daemon_manager import DaemonManager
+        
+        with tempfile.TemporaryDirectory() as tmpdir:
+            state_dir = Path(tmpdir) / "schedulers"
+            log_dir = Path(tmpdir) / "logs"
+            
+            state_manager = SchedulerStateManager(state_dir)
+            daemon_manager = DaemonManager(log_dir)
+            
+            # Create mock states for 3 schedulers
+            for i in range(1, 4):
+                state_manager.save_state(f"test-{i}", {
+                    "name": f"test-{i}",
+                    "pid": 1000 + i,
+                    "task": f"Task {i}",
+                    "interval": "*/10s",
+                    "status": "running"
+                })
+            
+            # Mock daemon_manager.stop_daemon to return True
+            with patch.object(daemon_manager, 'stop_daemon', return_value=True):
+                result = AgentSchedulerHandler._handle_stop_all(state_manager, daemon_manager)
+            
+            assert result == 0
+            # All states should be deleted
+            assert len(state_manager.list_all()) == 0
+    
+    def test_stop_all_with_no_schedulers(self):
+        """Test stop-all when no schedulers are running."""
+        from praisonai.cli.features.agent_scheduler import AgentSchedulerHandler
+        from praisonai.scheduler.state_manager import SchedulerStateManager
+        from praisonai.scheduler.daemon_manager import DaemonManager
+        
+        with tempfile.TemporaryDirectory() as tmpdir:
+            state_dir = Path(tmpdir) / "schedulers"
+            log_dir = Path(tmpdir) / "logs"
+            
+            state_manager = SchedulerStateManager(state_dir)
+            daemon_manager = DaemonManager(log_dir)
+            
+            result = AgentSchedulerHandler._handle_stop_all(state_manager, daemon_manager)
+            
+            assert result == 0
+    
+    def test_stop_all_with_failures(self):
+        """Test stop-all when some schedulers fail to stop."""
+        from praisonai.cli.features.agent_scheduler import AgentSchedulerHandler
+        from praisonai.scheduler.state_manager import SchedulerStateManager
+        from praisonai.scheduler.daemon_manager import DaemonManager
+        
+        with tempfile.TemporaryDirectory() as tmpdir:
+            state_dir = Path(tmpdir) / "schedulers"
+            log_dir = Path(tmpdir) / "logs"
+            
+            state_manager = SchedulerStateManager(state_dir)
+            daemon_manager = DaemonManager(log_dir)
+            
+            # Create mock states
+            state_manager.save_state("test-1", {
+                "name": "test-1",
+                "pid": 1001,
+                "task": "Task 1",
+                "interval": "*/10s",
+                "status": "running"
+            })
+            state_manager.save_state("test-2", {
+                "name": "test-2",
+                "pid": 1002,
+                "task": "Task 2",
+                "interval": "*/10s",
+                "status": "running"
+            })
+            
+            # Mock stop_daemon to fail for second scheduler
+            def mock_stop(pid):
+                return pid == 1001
+            
+            with patch.object(daemon_manager, 'stop_daemon', side_effect=mock_stop):
+                result = AgentSchedulerHandler._handle_stop_all(state_manager, daemon_manager)
+            
+            assert result == 1  # Should return 1 when failures occur
+
+
+class TestStatsCommand:
+    """Test stats command functionality."""
+    
+    def test_stats_aggregate(self):
+        """Test aggregate stats for all schedulers."""
+        from praisonai.cli.features.agent_scheduler import AgentSchedulerHandler
+        from praisonai.scheduler.state_manager import SchedulerStateManager
+        
+        with tempfile.TemporaryDirectory() as tmpdir:
+            state_dir = Path(tmpdir) / "schedulers"
+            state_manager = SchedulerStateManager(state_dir)
+            
+            # Create mock states with execution data
+            state_manager.save_state("test-1", {
+                "name": "test-1",
+                "pid": 1001,
+                "task": "Task 1",
+                "interval": "*/10s",
+                "status": "running",
+                "executions": 5,
+                "cost": 0.0005
+            })
+            state_manager.save_state("test-2", {
+                "name": "test-2",
+                "pid": 1002,
+                "task": "Task 2",
+                "interval": "*/20s",
+                "status": "stopped",
+                "executions": 3,
+                "cost": 0.0003
+            })
+            
+            result = AgentSchedulerHandler._handle_stats(state_manager)
+            
+            assert result == 0
+    
+    def test_stats_with_no_schedulers(self):
+        """Test stats when no schedulers exist."""
+        from praisonai.cli.features.agent_scheduler import AgentSchedulerHandler
+        from praisonai.scheduler.state_manager import SchedulerStateManager
+        
+        with tempfile.TemporaryDirectory() as tmpdir:
+            state_dir = Path(tmpdir) / "schedulers"
+            state_manager = SchedulerStateManager(state_dir)
+            
+            result = AgentSchedulerHandler._handle_stats(state_manager)
+            
+            assert result == 0
+    
+    def test_stats_individual_scheduler(self):
+        """Test stats command as alias for describe."""
+        from praisonai.cli.features.agent_scheduler import AgentSchedulerHandler
+        from praisonai.scheduler.state_manager import SchedulerStateManager
+        from praisonai.scheduler.daemon_manager import DaemonManager
+        
+        with tempfile.TemporaryDirectory() as tmpdir:
+            state_dir = Path(tmpdir) / "schedulers"
+            log_dir = Path(tmpdir) / "logs"
+            
+            state_manager = SchedulerStateManager(state_dir)
+            daemon_manager = DaemonManager(log_dir)
+            
+            # Create mock state
+            state_manager.save_state("test-1", {
+                "name": "test-1",
+                "pid": 1001,
+                "task": "Task 1",
+                "interval": "*/10s",
+                "status": "running",
+                "executions": 5,
+                "cost": 0.0005,
+                "started_at": "2025-12-22T10:00:00"
+            })
+            
+            result = AgentSchedulerHandler._handle_stats(
+                state_manager, 
+                unknown_args=["test-1"],
+                daemon_manager=daemon_manager
+            )
+            
+            assert result == 0
+
+
+class TestCleanLogs:
+    """Test clean log output (DEBUG level)."""
+    
+    def test_scheduler_uses_debug_logging(self):
+        """Test that scheduler uses DEBUG level for internal logs."""
+        from praisonai.scheduler.agent_scheduler import AgentScheduler
+        from praisonaiagents import Agent
+        import logging
+        
+        # Create a test handler to capture log records
+        test_handler = logging.Handler()
+        test_handler.setLevel(logging.DEBUG)
+        records = []
+        
+        def capture_record(record):
+            records.append(record)
+            return True
+        
+        test_handler.emit = lambda record: records.append(record)
+        
+        # Get the scheduler logger
+        logger = logging.getLogger('praisonai.scheduler')
+        logger.addHandler(test_handler)
+        logger.setLevel(logging.DEBUG)
+        
+        try:
+            agent = Agent(
+                name="Test Agent",
+                role="Tester",
+                goal="Test logging",
+                instructions="Test"
+            )
+            
+            scheduler = AgentScheduler(
+                agent=agent,
+                task="Test task",
+                timeout=5,
+                max_cost=1.0
+            )
+            
+            # Start and immediately stop
+            scheduler.start(schedule_expr="*/10s", max_retries=1, run_immediately=False)
+            scheduler.stop()
+            
+            # Check that debug messages were logged
+            debug_messages = [r for r in records if r.levelno == logging.DEBUG]
+            assert len(debug_messages) > 0, "Should have DEBUG level logs"
+            
+        finally:
+            logger.removeHandler(test_handler)
+
+
+class TestStateUpdatePersistence:
+    """Test that execution stats are persisted to state files."""
+    
+    def test_state_update_after_execution(self):
+        """Test that _update_state_if_daemon updates the state file."""
+        from praisonai.scheduler.agent_scheduler import AgentScheduler
+        from praisonai.scheduler.state_manager import SchedulerStateManager
+        from praisonaiagents import Agent
+        import os
+        
+        with tempfile.TemporaryDirectory() as tmpdir:
+            state_dir = Path(tmpdir) / "schedulers"
+            state_dir.mkdir(parents=True)
+            
+            # Create a mock state file
+            state_manager = SchedulerStateManager(state_dir)
+            pid = os.getpid()
+            
+            state_manager.save_state("test-scheduler", {
+                "name": "test-scheduler",
+                "pid": pid,
+                "task": "Test",
+                "interval": "*/10s",
+                "status": "running",
+                "executions": 0,
+                "cost": 0.0
+            })
+            
+            agent = Agent(
+                name="Test Agent",
+                role="Tester",
+                goal="Test",
+                instructions="Test"
+            )
+            
+            scheduler = AgentScheduler(
+                agent=agent,
+                task="Test task",
+                timeout=5,
+                max_cost=1.0
+            )
+            
+            # Simulate execution
+            scheduler._execution_count = 5
+            scheduler._total_cost = 0.0005
+            
+            # Call update method
+            scheduler._update_state_if_daemon()
+            
+            # Check if state was updated
+            state = state_manager.load_state("test-scheduler")
+            if state:  # State might be updated
+                assert state.get('executions', 0) >= 0
+                assert state.get('cost', 0.0) >= 0.0